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Record W2018909952 · doi:10.1177/1746197911432590

Grappling with social justice: Exploring new teachers’ practice and experiences

2012· article· en· W2018909952 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducation Citizenship and Social Justice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMentorshipSocial justicePedagogySociologySituatedNarrativeCurriculumContext (archaeology)Narrative inquiryTeacher educationQualitative researchSocial scienceMedical educationMedicine

Abstract

fetched live from OpenAlex

This qualitative study examines the narratives of 27 new teachers as they grapple with social justice in the context of their classrooms. Informed by pedagogical perspectives regarding social justice education and new teacher mentorship, this research is framed by theories of communities of practice and professional knowledge landscapes. At the time of fieldwork, the participants had all graduated from a teacher education program focused on issues of social justice and were in their first, second or third year of teaching. Analysis of the participants’ narratives, gathered in semi-structured interviews indicates that the realities of teaching assignments, curriculum constraints and professional support either encourage or discourage new teachers from incorporating social justice into their practice. Thus, the extent to which new teachers are able to incorporate social justice into their practice can be related to the material and social conditions in which they are situated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.199
GPT teacher head0.414
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it